IEICE TRANSACTIONS on Fundamentals
Estimation of the Acoustic Time Delay of Arrival by Adaptive Eigenvalue Decomposition with a Proportionate Step-Size Control and Direct-Path Constraint
Summary :
Estimation of the time delay of arrival (TDOA) problem is important to acoustic source localization. The TDOA estimation problem is defined as finding the relative delay between several microphone signals for the direct sound. To estimate TDOA, the generalized cross-correlation (GCC) method is the most frequently used, but it has a disadvantage in terms of reverberant environments. In order to overcome this problem, the adaptive eigenvalue decomposition (AED) method has been developed, which estimates the room transfer function and finds the direct-path delay. However, the algorithm does not take into account the fact that the room transfer function is a sparse channel, and so sometimes the estimated transfer function is too dense, resulting in failure to exact direct-path and delay. In this paper, an enhanced AED algorithm that makes use of a proportionate step-size control and a direct-path constraint is proposed instead of a constant step size and the L2-norm constraint. The simulation results show that the proposed algorithm has enhanced performance as compared to both the conventional AED method and the phase-transform (PHAT) algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.8 pp.1622-1627
- Publication Date
- 2016/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.1622
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Seokjin LEE
Kyonggi University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Seokjin LEE, "Estimation of the Acoustic Time Delay of Arrival by Adaptive Eigenvalue Decomposition with a Proportionate Step-Size Control and Direct-Path Constraint" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 8, pp. 1622-1627, August 2016, doi: 10.1587/transfun.E99.A.1622.
Abstract: Estimation of the time delay of arrival (TDOA) problem is important to acoustic source localization. The TDOA estimation problem is defined as finding the relative delay between several microphone signals for the direct sound. To estimate TDOA, the generalized cross-correlation (GCC) method is the most frequently used, but it has a disadvantage in terms of reverberant environments. In order to overcome this problem, the adaptive eigenvalue decomposition (AED) method has been developed, which estimates the room transfer function and finds the direct-path delay. However, the algorithm does not take into account the fact that the room transfer function is a sparse channel, and so sometimes the estimated transfer function is too dense, resulting in failure to exact direct-path and delay. In this paper, an enhanced AED algorithm that makes use of a proportionate step-size control and a direct-path constraint is proposed instead of a constant step size and the L2-norm constraint. The simulation results show that the proposed algorithm has enhanced performance as compared to both the conventional AED method and the phase-transform (PHAT) algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1622/_p
Copy
@ARTICLE{e99-a_8_1622,
author={Seokjin LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Estimation of the Acoustic Time Delay of Arrival by Adaptive Eigenvalue Decomposition with a Proportionate Step-Size Control and Direct-Path Constraint},
year={2016},
volume={E99-A},
number={8},
pages={1622-1627},
abstract={Estimation of the time delay of arrival (TDOA) problem is important to acoustic source localization. The TDOA estimation problem is defined as finding the relative delay between several microphone signals for the direct sound. To estimate TDOA, the generalized cross-correlation (GCC) method is the most frequently used, but it has a disadvantage in terms of reverberant environments. In order to overcome this problem, the adaptive eigenvalue decomposition (AED) method has been developed, which estimates the room transfer function and finds the direct-path delay. However, the algorithm does not take into account the fact that the room transfer function is a sparse channel, and so sometimes the estimated transfer function is too dense, resulting in failure to exact direct-path and delay. In this paper, an enhanced AED algorithm that makes use of a proportionate step-size control and a direct-path constraint is proposed instead of a constant step size and the L2-norm constraint. The simulation results show that the proposed algorithm has enhanced performance as compared to both the conventional AED method and the phase-transform (PHAT) algorithm.},
keywords={},
doi={10.1587/transfun.E99.A.1622},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Estimation of the Acoustic Time Delay of Arrival by Adaptive Eigenvalue Decomposition with a Proportionate Step-Size Control and Direct-Path Constraint
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1622
EP - 1627
AU - Seokjin LEE
PY - 2016
DO - 10.1587/transfun.E99.A.1622
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2016
AB - Estimation of the time delay of arrival (TDOA) problem is important to acoustic source localization. The TDOA estimation problem is defined as finding the relative delay between several microphone signals for the direct sound. To estimate TDOA, the generalized cross-correlation (GCC) method is the most frequently used, but it has a disadvantage in terms of reverberant environments. In order to overcome this problem, the adaptive eigenvalue decomposition (AED) method has been developed, which estimates the room transfer function and finds the direct-path delay. However, the algorithm does not take into account the fact that the room transfer function is a sparse channel, and so sometimes the estimated transfer function is too dense, resulting in failure to exact direct-path and delay. In this paper, an enhanced AED algorithm that makes use of a proportionate step-size control and a direct-path constraint is proposed instead of a constant step size and the L2-norm constraint. The simulation results show that the proposed algorithm has enhanced performance as compared to both the conventional AED method and the phase-transform (PHAT) algorithm.
ER -
English
